We're working with @IneffableLabs to co-design the infrastructure for large-scale, reinforcement-learning agents and accelerate discovery across science and industry.
Our engineers have teamed up to explore how to create the training pipeline that will allow agents to discover
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Collaboration to Develop Infrastructure for Large-Scale RL Agents
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IndiaAI and Karya Partner to Advance Inclusive AI Datasets and Infrastructure
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IndiaAI has signed an MoU with Karya to strengthen India’s inclusive AI ecosystem. The partnership is set to focus on advancing high-quality language and multimodal datasets, strengthening AIKosh infrastructure and standards, and building capacity through training and
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IndiaAI Data & AI Labs Trains Learners in Foundational AI Skills
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Behind every AI model is quality data, through IndiaAI Data & AI Labs, learners are being trained in this foundational skill that enables everything from chatbots to computer vision systems. 900+ trained learners are forming a critical layer of India’s AI capability building.
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Training AI on Amazon Electronic Reviews using Python and NLTK
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Training AI on Amazon Electronic Reviews Using #Python for Natural Language! – by – @gp_pulipaka
! JupyterLab/Jupyter Notebook WordNet, Lexical Semantic Relation Analyzer
Thesaurus, 155,000 Words
Synset 115,000, 205,000 word-Sense Pair. NLTK Library, spaCy, TextBlob -

Using GeoAI and Machine Learning to Predict Traffic Congestion
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GeoAI! #MachineLearning Help Predict Traffic Carmageddon! by @rachelevagordon. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #GeoSpatial #Linux
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Promotion of The Oxford Handbook of AI Governance
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The Oxford Handbook of AI Governance! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
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New Book on Machine Learning and Deep Learning for Tabular Data
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Excellent book from @ManningBooks >> #MachineLearning for Tabular Data: XGBoost, Deep Learning, and AI, by @MarkRyanMkm & @lucamassaron Get it here: http://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
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Hugging Face Hub Reaches One Million Open Datasets Milestone
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We've just hit 1M open datasets on the Hugging Face Hub 🎉
— Hugging Face (@huggingface) 12 mai 2026
Open models need open data. Today we hit that milestone, together with the most incredible community in AI! 🤗
Onwards to the next million 🚀 pic.twitter.com/PV6knP3XlJWe've just hit 1M open datasets on the Hugging Face Hub Open models need open data. Today we hit that milestone, together with the most incredible community in AI! Onwards to the next million
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Hugging Face surpasses one million public datasets
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We just crossed 1,000,000 public datasets on Hugging Face! That's petabytes of data available that millions of AI builders download, analyze, and train AI models on every day! What's interesting is that we're seeing a clear acceleration since AI agents started performing well.
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AIKosh initiative to support AI-powered health solutions in India
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Through the IndiaAI × ICMR collaboration, AIKosh is bringing together trusted datasets, domain expertise, and AI infrastructure to support the development of impactful AI-powered health solutions. By enabling access to quality health research data, AI models, tools, and compute